Data and Code for: The Global Infrastructure Gap: Potential, Perils, and a Framework for Distinction
Principal Investigator(s): View help for Principal Investigator(s) Camille Gardner, Brown University; Peter Blair Henry, Stanford University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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README | 11/16/2023 10:38:AM | ||
data | 11/09/2023 02:34:PM | ||
figures | 10/13/2023 06:25:PM | ||
paper | 11/16/2023 10:39:AM | ||
tables | 11/15/2023 11:56:AM |
Project Citation:
Gardner, Camille, and Henry, Peter Blair. Data and Code for: The Global Infrastructure Gap: Potential, Perils, and a Framework for Distinction. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-12-05. https://doi.org/10.3886/E183303V1
Project Description
Summary:
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One billion people live more than 2
kilometers from an all-weather road, and 1.2 billion have no access to electricity.
In 2015, the World Bank claimed that rich-country private capital could: (i) close
the infrastructure services gap in poor countries, (ii) achieve the sustainable
development goals, and (iii) make money by moving from “billions to trillions” of
investment in poor-country infrastructure. We introduce a simple framework that
distinguishes those poor countries in which the Bank’s three-fold claim is
tenable from those where it is not. For a given poor country, the framework
reveals that investing a dollar in infrastructure is efficient if the social rate of return on
infrastructure in the poor country clears two hurdles: (a) the social rate of
return on private capital in the poor country, and (b) the social rate of
return on private capital in rich countries. Applying the framework to the only comprehensive, cross-country data set of social rates of
return on infrastructure indicates that in 1985 just 7 of 53 poor countries
cleared the dual hurdles in both paved roads and electricity generating
capacity. Where it was efficient to invest in infrastructure, however, the
potential for excess social returns was significant—seven times larger, on average,
than the excess financial returns that existed in publicly traded
emerging-market stocks before foreigners were permitted to own shares. These
results suggest that the dual-hurdle framework provides a template which
savers, investors, and policymakers can use to prioritize poor-country
infrastructure investments with maximal potential to drive greater growth,
asset returns, and sustainability, even as new data become available.
Scope of Project
Subject Terms:
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social rate of return;
infrastructure;
private capital;
infrastructure gap;
equilibrium;
public capital
JEL Classification:
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E22 Investment; Capital; Intangible Capital; Capacity
F21 International Investment; Long-term Capital Movements
G15 International Financial Markets
E22 Investment; Capital; Intangible Capital; Capacity
F21 International Investment; Long-term Capital Movements
G15 International Financial Markets
Geographic Coverage:
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Myanmar,
Cameroon,
Papua New Guinea,
Malaysia,
Portugal,
Syria,
Austria,
Mozambique,
El Salvador,
Mali,
Panama,
Brazil,
Guatemala,
Algeria,
Chile,
Nepal,
Colombia,
Ecuador,
Argentina,
Japan,
Zambia,
Ghana,
Congo,
India,
New Zealand,
Turkey,
Belgium,
Senegal,
Finland,
Italy,
Honduras,
Jamaica,
Peru,
Germany,
Fiji,
Egypt,
Thailand,
Bolivia,
Costa Rica,
C.A.R.,
Netherlands,
Sweden,
U.S.,
Pakistan,
Malawi,
Gambia,
China,
Ireland,
U.K.,
Jordan,
Tunisia,
Korea,
Sri Lanka,
Niger,
Uruguay,
Philippines,
Kenya,
Liberia,
Bangladesh,
Nicaragua,
Norway,
Botswana,
Dominican Republic,
Denmark,
Mexico,
Uganda,
Zimbabwe,
Australia,
Indonesia
Time Period(s):
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1985 – 2005
Collection Date(s):
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2000 – 2018
Data Type(s):
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administrative records data
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